Research on Multi-level Classification Models for Imbalanced Network Intrusion Dataset
Xiaofeng Li, Luqun Li · 2022
This paper explores the use of machine learning related methods to solve intrusion detection and bandwidth prediction for computer networks. It put forward multi-level classification models which cleverly solved the problem of categories of samples imbalanced dataset classification, and proposed a LSTM model for network intrusions bandwidth consumption prediction. The related research work has provided a reference for further network intrusion detection and bandwidth prediction.